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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

AMME5060: Advanced Computational Engineering

This unit will cover advanced numerical and computational methods within an engineering context. The context will include parallel coding using MPI, computational architecture, advanced numerical methods including spectral methods, finite difference schemes and efficient linear solvers including multi-grid solvers and Krylov subspace solvers. Students will develop to skills and confidence to write their own computational software. Applications in fluid and solid mechanics will be covered.


Academic unit Aerospace, Mechanical and Mechatronic
Unit code AMME5060
Unit name Advanced Computational Engineering
Session, year
Semester 2, 2021
Attendance mode Normal day
Location Remote
Credit points 6

Enrolment rules

UG students are required to complete AMME3060 before enrolling in this unit.
Assumed knowledge

Linear algebra, calculus and partial differential equations, Taylor series, the finite difference and finite element methods, numerical stability, accuracy, direct and iterative linear solvers and be able to write Matlab Scripts to solve problems using these methods.

Available to study abroad and exchange students


Teaching staff and contact details

Coordinator Nicholas Williamson,
Lecturer(s) Nicholas Williamson ,
Tutor(s) Vassili Issaev ,
Type Description Weight Due Length
Online task Tutorial Mini-Assignments
6 mini-assignmets, submitted in canvas and demonstrated in the laboratories
18% Multiple weeks less than 100lines of code
Outcomes assessed: LO5 LO6
Assignment Assignment 1
Written report, Code and datafiles
11% Week 06
Due date: 17 Sep 2021

Closing date: 01 Oct 2021
100 to 200 lines of code, 4-6pg report
Outcomes assessed: LO5 LO6
Tutorial quiz Quiz 1
Online quiz with calculations, coding, analysis
10% Week 07
Due date: 21 Sep 2021
1hr quiz, 4-6pages of writting
Outcomes assessed: LO6 LO5
Assignment Assignment 2
Written report, Code and datafiles
11% Week 10
Due date: 22 Oct 2021

Closing date: 05 Nov 2021
100 to 200 lines of code, 4-6pg report
Outcomes assessed: LO5 LO6
Tutorial quiz Quiz 2
Online quiz with calculations, coding, analysis
10% Week 12
Due date: 02 Nov 2021
1hr quiz, 4-6pages of writting
Outcomes assessed: LO6 LO5
Assignment group assignment Major project
A group report, computer code and oral exam
40% Week 13
Due date: 12 Nov 2021

Closing date: 26 Nov 2021
20pg report, ~600lines code, 20min oral
Outcomes assessed: LO1 LO6 LO5 LO4 LO3 LO2
group assignment = group assignment ?

Major Project: The major project is a group project which involves developing a computational engineering solver and using this to perform some analysis. The submission will include the computer code, a report containing the analysis and a group presentation. The presentation is followed by an oral exam in the form of a panel interview. Further individual oral examination of the submission may be required. The code and report cannot be graded until the oral exam and presentation are completed.

Quiz 1,2: Both quizzes are long answer quizzes. Solutions must be written and uploaded through canvas. Solutions may be posted after 24hrs. These quizzes must be attended as timetabled.

Mini-assignments 1 to 6: These assessments require submission of computer code through canvas and followed by live presentation in the timetabled Friday tutorial. The grading is based on both the submitted work and the discussion with the tutor in the laboratory session. Each mini-assignment must be submitted within 7 days of the due date. Solutions to the mini-assignments will be presented in the Friday tutorial 1 week following the deadline so submission after this point is impossible. If special consideration is given the mini-assignment assessment will be replaced by a re-weighting the next quiz. In this situation, mini-assignment 1,2,3,4 would be replaced by Quiz 1 and mini-assignment 5,6 will be replaced by Quiz 2.

Assignment 1,2: Both assignments involve writing computer code, testing it and writing a technical report. The submission is through canvas.

Detailed information for each assessment can be found on Canvas.


Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range


High distinction

85 - 100



75 - 84



65 - 74



50 - 64



0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Multiple weeks Independent Study to prepare for classes and to work on assessments (90 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 01 1. Introduction; 2. Compiled languages, Fortran (4 hr) LO2 LO3 LO4 LO5 LO6
Week 02 1. High performance computing; 2. Parallel programing, MPI (4 hr) LO2 LO3 LO4 LO5 LO6
Week 03 1. MPI; 2. Basic Linear solvers (4 hr) LO2 LO3 LO4 LO5 LO6
Week 04 Memory Management, Advanced MPI (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 1. Linear Solvers 2. Multigrid solver (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 06 Krylov Space Solvers (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 07 Quiz, Spectral Methods (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 08 Spectral Methods (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 09 1. Spectral Methods; 2. Job Schedulers (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 10 1. Spectral Methods 2. OpenMP (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 11 OpenMP, Efficient Programs (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 12 Quiz, Makefiles, Review (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 13 Project Support (4 hr) LO1 LO2

Attendance and class requirements

Attendance in the laboratory sessions is compulsory and will be recorded.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

The following textbook can be accessed through the Library eReserve, available on Canvas.

  • Stephen J. Chapman, FORTRAN FOR SCIENTISTS & ENGINEERS (4). 9780073385891

The following text book is also a required:

  • Introduction to High Performance Computing for Scientists and Engineers by Georg Hager: ISBN 978-1439811924

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. A major project will be undertaken in groups. Each member will have responsibilities for delivering these complex and technically demanding projects. Group members will have to work closely and understand all aspects of the project to deliver a successful software solution.
  • LO2. Students will have to engage with engineering standards for computational mechanics and ensure their testing of their software meets these standards. This includes appropriate bench-marking of solutions, professionally presenting these and indicating the range of applicability for their solution
  • LO3. Students will design numerical simulation software in small groups. The students will select the underlying numerical method, choice of computation architecture, coding language and design the code structure.
  • LO4. Students will be required to select the most appropriate numerical tools to solve engineering problems and how to represent these problems in a simulation. This requires and understanding of solution behaviour, what aspects of a problem are critical and what aspects can be simplified.
  • LO5. Students will apply advanced numerical methods to a range of complex engineering problems. Students will be required to write their own software.
  • LO6. Students will become proficient in advanced numerical methods, their suitability and application to numerical modelling of engineering problems.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
Changes to online teaching.


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